GCH 2023 - Eurographics Workshop on Graphics and Cultural Heritage

Permanent URI for this collection

Salento, Lecce, Italy || 4 - 6 September 2023
AI and 3D Reconstruction I
HerMeS - HERitage sMart social mEdia aSsistant: from Requirement Elicitation to Data Modelling for Feeding Artificial Intelligence Recommendation System
Alberto Bucciero, Alessandra Chirivì, Mohamed Ali Jaziri, Irene Muci, Andrea Orlandini, and Alessandro Umbrico
High Resolution 2D-/3D-Scanning and Deep Learning Segmentation for Digitization of Fragmented Wall Paintings
Ole Kroeger, Oliver Krumpek, Paul Koch, Martin Pape, Jan Schneider, and Jörg Krüger
Enhancing Digital Cultural Heritage
Authenticity in VR and XR Experiences: a Conceptual Framework for Digital Heritage
Sofia Pescarin, Giuseppe Città, Manuel Gentile, and Samuele Spotti
Interaction Design as Catalyzer of Creative and Interpretative Praxes in Museum Context
Manuele Veggi
Interactive Digital Narrative Authoring Tools and Hybrid Experiences in Cultural Heritage: An Integrated Review
Marcello Massidda, Laura Travaglini, and Sofia Pescarin
AI methods for Manuscripts and Documents
Estimating the Number of Chases used for Printing Books with Movable Metal Types
Dongkeun Kim, Maaz Ahmed, and Kang-Sun Choi
R-CNN based PolygonalWedge Detection Learned from Annotated 3D Renderings and Mapped Photographs of Open Data Cuneiform Tablets
Ernst Stötzner, Timo Homburg, Jan Philipp Bullenkamp, and Hubert Mara
AI and 3D Reconstruction II
Effective Interactive Visualization of Neural Relightable Images in a Web-based Multi-layered Framework
Leonardo Righetto, Fabio Bettio, Federico Ponchio, Andrea Giachetti, and Enrico Gobbetti
Portrait2Bust: DualStyleGAN-based Portrait Image Stylization Based on Bust Sculpture Images
Saptarshi Neil Sinha and Michael Weinmann
AI and 3D Reconstruction III
AI Based Image Segmentation of Cultural Heritage Objects used for Multi-View Stereo 3D Reconstructions
Hasan Kutlu, Felix Brucker, Ben Kallendrusch, Pedro Santos, and Dieter W. Fellner
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
Thomas Pöllabauer, Julius Kühn, Jiayi Li, and Arjan Kuijper
Using Spatial Augmented Reality to Increase Perceived Translucency of Real 3D Objects
Giorgio Trumpy and Davit Gigilashvili
Simulation in CH
Automatic Detection of Windows Reflection or Transparency Pollution in TLS Acquisitions
Edgar Badalyan, Arnaud Schenkel, and Olivier Debeir
Exploring Expert and Non-Expert Perception of 3D Digital Models of Museum Objects
Kira Zumkley, Karina Rodriguez Echavarria, and Tim Weyrich
Inferring the Routes of Prehistoric Humans
Adrien Ramanana Rahary, Mylène Lorre-Guidt, Sophie Grégoire, and Marie-Paule Cani
Digital Libraries and Infrastructures
DataSpace-ISPC: a Semantic Platform for Heritage Science
Alberto Bucciero, Alessandra Chirivì, Gerardo Anglada, Emanuel Demetrescu, Bruno Fanini, and Nicolò Paraciani
The Role of Project MA.G.I.C. in the Context of the European Strategies for the Digitization of the Library and Archival Heritage
Stefania Conte, Pasqualino Maria Maddalena, Andrea Mazzucchi, Leonardo Merola, Guido Russo, and Guido Trombetti
Acquisition Methodologies
4D Thermo-reflectography of Cultural Heritage
Fulvio Mercuri, Eva Pietroni, Enzo D'Annibale, Stefano Paoloni, Noemi Orazi, Daniele Ferdani, Ugo Zammit, and Diego Ronchi
A Digital Data Curation-Based Photogrammetric Acquisition Methodology for Cultural Heritage, expanded with CIDOC CRM Compatibility: protocol BeA-PG
Vittorio Lauro and Vincenzo Lombardo
GCH/XR Methods and Applications I
Augmenting Local and Remote Cultural Visits with Mixed Reality
Pedro Lourenço, Nuno Correia, and Armanda Rodrigues
Hybrid XR Collaborative and Guided Experiences in Cultural Heritage: Brancacci POV Prototype
Sofia Pescarin, Ivana Cerato, Enzo D'Annibale, Bruno Fanini, Daniele Ferdani, Rachele Manganelli Del Fà, Alessandra Marasco, Marcello Massidda, Augusto Palombini, and Diego Ronchi
Large Room Scale Augmented Reality in an Unaltered World Heritage Site
Manuel Olbrich, Andreas Zapf, Christoph Stiegemann, and Annika Pröbe
GCH/XR Methods and Applications II
Advanced Interactive Digital Storytelling in Virtual Reality presentation of Austrian-Hungarian fortresses around Trebinje
Selma Rizvic, Dusanka Boskovic, and Bojan Mijatovic
Developing a VR Game Featuring Optical Illusion Challenges to Support Cultural Heritage - A Progress Report
Louis Nisiotis and Konstantinos Elia
Interacting with Ancient Egypt Remains in High-Fidelity Virtual Reality Experiences
Simone Restivo, Alberto Cannavò, Martina Terzoli, Davide Mezzino, Roberta Spallone, and Fabrizio Lamberti
Posters and Demos
Digitisation of Temporary Exhibitions: the Aldrovandi Case
Sebastian Barzaghi, Federica Collina, Francesca Fabbri, Federica Giacomini, Alice Bordignon, Roberto Balzani, Gabriele Bitelli, Federica Bonifazi, Luca Cipriani, Simona Colitti, Marilena Daquino, Bruno Fanini, Filippo Fantini, Daniele Ferdani, Giulia Fiorini, Elena Formia, Anna Forte, Valentina Alena Girelli, Bianca Gualandi, Ivan Heibi, Alessandro Iannucci, Rachele Manganelli del Fà, Arcangelo Massari, Arianna Moretti, Silvio Peroni, Sofia Pescarin, Giulia Renda, Diego Ronchi, Mattia Sullini, Maria Alessandra Tini, Francesca Tomasi, Laura Travaglini, and Luca Vittuari
Artificial Intelligence Algorithms for the Analysis of User Experience in Palazzo Braschi Museum
Sofia Ceccarelli, Amedeo Cesta, Gabriella Cortellessa, Riccardo De Benedictis, Francesca Fracasso, Laura Leopardi, Luca Ligios, Ernesto Lombardi, Saverio Giulio Malatesta, Angelo Oddi, Alfonsina Pagano, Augusto Palombini, Gianmauro Romagna, Marta Sanzari, and Marco Schaerf
Prototyping Care: Two Case Studies
Arthur Clay, Giorgio Trumpy, Michael Weinmann, and Richard Wetzel
The NuragAI project: Artificial Intelligence-driven Image Analysis of Sardinia Landscape, Searching for Unknown Monuments
Augusto Palombini, Edoardo Baiocchi, Romeo Lanzino, Saverio Giulio Malatesta, Marco Raoul Marini, and Paolo Rosati
Towards Crowd-Sourced Collaborative Fragment Matching
Peter Houska, Simon Kloiber, Alessandra Masur, Stefan Lengauer, Stephan Karl, and Reinhold Preiner
Project ''Wall facing Automatic Image Identification Laboratory'' - W.A.L.(L)
Francesca Buscemi, Giovanni Gallo, Marianna Figuera, Yaser Gholizade Atani, and Angelica Lo Duca
The Scream (ca. 1910) through the Years: from Photographic Documentation to Spatio-Temporal Modelling
Irina Ciortan, Giorgio Trumpy, Irina Sandu, and Halvor Bjørngård
Interaction Styles in a Multi-Modal Virtual Museum
Ethan Southall, Vedad Hulusic, and Charlie Hargood
User eXperience in educational eXtended Reality applications in the Cultural Heritage domain
Wenjun Liu, Charlie Hargood, Wen Tang, and Vedad Hulusic

BibTeX (GCH 2023 - Eurographics Workshop on Graphics and Cultural Heritage)
@inproceedings{
10.2312:gch.20232017,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
GCH 2023: Frontmatter}},
author = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20232017}
}
@inproceedings{
10.2312:gch.20231151,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
HerMeS - HERitage sMart social mEdia aSsistant: from Requirement Elicitation to Data Modelling for Feeding Artificial Intelligence Recommendation System}},
author = {
Bucciero, Alberto
 and
Chirivì, Alessandra
 and
Jaziri, Mohamed Ali
 and
Muci, Irene
 and
Orlandini, Andrea
 and
Umbrico, Alessandro
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231151}
}
@inproceedings{
10.2312:gch.20231152,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
High Resolution 2D-/3D-Scanning and Deep Learning Segmentation for Digitization of Fragmented Wall Paintings}},
author = {
Kroeger, Ole
 and
Krumpek, Oliver
 and
Koch, Paul
 and
Pape, Martin
 and
Schneider, Jan
 and
Krüger, Jörg
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231152}
}
@inproceedings{
10.2312:gch.20231154,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Interaction Design as Catalyzer of Creative and Interpretative Praxes in Museum Context}},
author = {
Veggi, Manuele
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231154}
}
@inproceedings{
10.2312:gch.20231155,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Interactive Digital Narrative Authoring Tools and Hybrid Experiences in Cultural Heritage: An Integrated Review}},
author = {
Massidda, Marcello
 and
Travaglini, Laura
 and
Pescarin, Sofia
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231155}
}
@inproceedings{
10.2312:gch.20231153,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Authenticity in VR and XR Experiences: a Conceptual Framework for Digital Heritage}},
author = {
Pescarin, Sofia
 and
Città, Giuseppe
 and
Gentile, Manuel
 and
Spotti, Samuele
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231153}
}
@inproceedings{
10.2312:gch.20231157,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
R-CNN based PolygonalWedge Detection Learned from Annotated 3D Renderings and Mapped Photographs of Open Data Cuneiform Tablets}},
author = {
Stötzner, Ernst
 and
Homburg, Timo
 and
Bullenkamp, Jan Philipp
 and
Mara, Hubert
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231157}
}
@inproceedings{
10.2312:gch.20231156,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Estimating the Number of Chases used for Printing Books with Movable Metal Types}},
author = {
Kim, Dongkeun
 and
Ahmed, Maaz
 and
Choi, Kang-Sun
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231156}
}
@inproceedings{
10.2312:gch.20231158,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Effective Interactive Visualization of Neural Relightable Images in a Web-based Multi-layered Framework}},
author = {
Righetto, Leonardo
 and
Bettio, Fabio
 and
Ponchio, Federico
 and
Giachetti, Andrea
 and
Gobbetti, Enrico
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231158}
}
@inproceedings{
10.2312:gch.20231159,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Portrait2Bust: DualStyleGAN-based Portrait Image Stylization Based on Bust Sculpture Images}},
author = {
Sinha, Saptarshi Neil
 and
Weinmann, Michael
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231159}
}
@inproceedings{
10.2312:gch.20231160,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
AI Based Image Segmentation of Cultural Heritage Objects used for Multi-View Stereo 3D Reconstructions}},
author = {
Kutlu, Hasan
 and
Brucker, Felix
 and
Kallendrusch, Ben
 and
Santos, Pedro
 and
Fellner, Dieter W.
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231160}
}
@inproceedings{
10.2312:gch.20231161,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model}},
author = {
Pöllabauer, Thomas
 and
Kühn, Julius
 and
Li, Jiayi
 and
Kuijper, Arjan
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231161}
}
@inproceedings{
10.2312:gch.20231163,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Automatic Detection of Windows Reflection or Transparency Pollution in TLS Acquisitions}},
author = {
Badalyan, Edgar
 and
Schenkel, Arnaud
 and
Debeir, Olivier
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231163}
}
@inproceedings{
10.2312:gch.20231162,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Using Spatial Augmented Reality to Increase Perceived Translucency of Real 3D Objects}},
author = {
Trumpy, Giorgio
 and
Gigilashvili, Davit
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231162}
}
@inproceedings{
10.2312:gch.20231164,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Exploring Expert and Non-Expert Perception of 3D Digital Models of Museum Objects}},
author = {
Zumkley, Kira
 and
Echavarria, Karina Rodriguez
 and
Weyrich, Tim
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231164}
}
@inproceedings{
10.2312:gch.20231165,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Inferring the Routes of Prehistoric Humans}},
author = {
Rahary, Adrien Ramanana
 and
Lorre-Guidt, Mylène
 and
Grégoire, Sophie
 and
Cani, Marie-Paule
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231165}
}
@inproceedings{
10.2312:gch.20231166,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
DataSpace-ISPC: a Semantic Platform for Heritage Science}},
author = {
Bucciero, Alberto
 and
Chirivì, Alessandra
 and
Anglada, Gerardo
 and
Demetrescu, Emanuel
 and
Fanini, Bruno
 and
Paraciani, Nicolò
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231166}
}
@inproceedings{
10.2312:gch.20231167,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
The Role of Project MA.G.I.C. in the Context of the European Strategies for the Digitization of the Library and Archival Heritage}},
author = {
Conte, Stefania
 and
Maddalena, Pasqualino Maria
 and
Mazzucchi, Andrea
 and
Merola, Leonardo
 and
Russo, Guido
 and
Trombetti, Guido
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231167}
}
@inproceedings{
10.2312:gch.20231169,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
A Digital Data Curation-Based Photogrammetric Acquisition Methodology for Cultural Heritage, expanded with CIDOC CRM Compatibility: protocol BeA-PG}},
author = {
Lauro, Vittorio
 and
Lombardo, Vincenzo
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231169}
}
@inproceedings{
10.2312:gch.20231168,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
4D Thermo-reflectography of Cultural Heritage}},
author = {
Mercuri, Fulvio
 and
Pietroni, Eva
 and
D'Annibale, Enzo
 and
Paoloni, Stefano
 and
Orazi, Noemi
 and
Ferdani, Daniele
 and
Zammit, Ugo
 and
Ronchi, Diego
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231168}
}
@inproceedings{
10.2312:gch.20231170,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Augmenting Local and Remote Cultural Visits with Mixed Reality}},
author = {
Lourenço, Pedro
 and
Correia, Nuno
 and
Rodrigues, Armanda
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231170}
}
@inproceedings{
10.2312:gch.20231172,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Large Room Scale Augmented Reality in an Unaltered World Heritage Site}},
author = {
Olbrich, Manuel
 and
Zapf, Andreas
 and
Stiegemann, Christoph
 and
Pröbe, Annika
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231172}
}
@inproceedings{
10.2312:gch.20231171,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Hybrid XR Collaborative and Guided Experiences in Cultural Heritage: Brancacci POV Prototype}},
author = {
Pescarin, Sofia
 and
Cerato, Ivana
 and
D'Annibale, Enzo
 and
Fanini, Bruno
 and
Ferdani, Daniele
 and
Fà, Rachele Manganelli Del
 and
Marasco, Alessandra
 and
Massidda, Marcello
 and
Palombini, Augusto
 and
Ronchi, Diego
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231171}
}
@inproceedings{
10.2312:gch.20231173,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Advanced Interactive Digital Storytelling in Virtual Reality presentation of Austrian-Hungarian fortresses around Trebinje}},
author = {
Rizvic, Selma
 and
Boskovic, Dusanka
 and
Mijatovic, Bojan
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231173}
}
@inproceedings{
10.2312:gch.20231174,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Developing a VR Game Featuring Optical Illusion Challenges to Support Cultural Heritage - A Progress Report}},
author = {
Nisiotis, Louis
 and
Elia, Konstantinos
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231174}
}
@inproceedings{
10.2312:gch.20231175,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Interacting with Ancient Egypt Remains in High-Fidelity Virtual Reality Experiences}},
author = {
Restivo, Simone
 and
Cannavò, Alberto
 and
Terzoli, Martina
 and
Mezzino, Davide
 and
Spallone, Roberta
 and
Lamberti, Fabrizio
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231175}
}
@inproceedings{
10.2312:gch.20231177,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Artificial Intelligence Algorithms for the Analysis of User Experience in Palazzo Braschi Museum}},
author = {
Ceccarelli, Sofia
 and
Cesta, Amedeo
 and
Pagano, Alfonsina
 and
Palombini, Augusto
 and
Romagna, Gianmauro
 and
Sanzari, Marta
 and
Schaerf, Marco
 and
Cortellessa, Gabriella
 and
Benedictis, Riccardo De
 and
Fracasso, Francesca
 and
Leopardi, Laura
 and
Ligios, Luca
 and
Lombardi, Ernesto
 and
Malatesta, Saverio Giulio
 and
Oddi, Angelo
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231177}
}
@inproceedings{
10.2312:gch.20231176,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Digitisation of Temporary Exhibitions: the Aldrovandi Case}},
author = {
Barzaghi, Sebastian
 and
Collina, Federica
 and
Daquino, Marilena
 and
Fanini, Bruno
 and
Fantini, Filippo
 and
Ferdani, Daniele
 and
Fiorini, Giulia
 and
Formia, Elena
 and
Forte, Anna
 and
Girelli, Valentina Alena
 and
Gualandi, Bianca
 and
Heibi, Ivan
 and
Fabbri, Francesca
 and
Iannucci, Alessandro
 and
Fà, Rachele Manganelli del
 and
Massari, Arcangelo
 and
Moretti, Arianna
 and
Peroni, Silvio
 and
Pescarin, Sofia
 and
Renda, Giulia
 and
Ronchi, Diego
 and
Sullini, Mattia
 and
Tini, Maria Alessandra
 and
Giacomini, Federica
 and
Tomasi, Francesca
 and
Travaglini, Laura
 and
Vittuari, Luca
 and
Bordignon, Alice
 and
Balzani, Roberto
 and
Bitelli, Gabriele
 and
Bonifazi, Federica
 and
Cipriani, Luca
 and
Colitti, Simona
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231176}
}
@inproceedings{
10.2312:gch.20231179,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
The NuragAI project: Artificial Intelligence-driven Image Analysis of Sardinia Landscape, Searching for Unknown Monuments}},
author = {
Palombini, Augusto
 and
Baiocchi, Edoardo
 and
Lanzino, Romeo
 and
Malatesta, Saverio Giulio
 and
Marini, Marco Raoul
 and
Rosati, Paolo
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231179}
}
@inproceedings{
10.2312:gch.20231178,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Prototyping Care: Two Case Studies}},
author = {
Clay, Arthur
 and
Trumpy, Giorgio
 and
Weinmann, Michael
 and
Wetzel, Richard
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231178}
}
@inproceedings{
10.2312:gch.20231180,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Towards Crowd-Sourced Collaborative Fragment Matching}},
author = {
Houska, Peter
 and
Kloiber, Simon
 and
Masur, Alessandra
 and
Lengauer, Stefan
 and
Karl, Stephan
 and
Preiner, Reinhold
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231180}
}
@inproceedings{
10.2312:gch.20231181,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Project ''Wall facing Automatic Image Identification Laboratory'' - W.A.L.(L)}},
author = {
Buscemi, Francesca
 and
Gallo, Giovanni
 and
Figuera, Marianna
 and
Atani, Yaser Gholizade
 and
Duca, Angelica Lo
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231181}
}
@inproceedings{
10.2312:gch.20231182,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
The Scream (ca. 1910) through the Years: from Photographic Documentation to Spatio-Temporal Modelling}},
author = {
Ciortan, Irina
 and
Trumpy, Giorgio
 and
Sandu, Irina
 and
Bjørngård, Halvor
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231182}
}
@inproceedings{
10.2312:gch.20231183,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
Interaction Styles in a Multi-Modal Virtual Museum}},
author = {
Southall, Ethan
 and
Hulusic, Vedad
 and
Hargood, Charlie
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231183}
}
@inproceedings{
10.2312:gch.20231184,
booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage},
editor = {
Bucciero, Alberto
 and
Fanini, Bruno
 and
Graf, Holger
 and
Pescarin, Sofia
 and
Rizvic, Selma
}, title = {{
User eXperience in educational eXtended Reality applications in the Cultural Heritage domain}},
author = {
Liu, Wenjun
 and
Hargood, Charlie
 and
Tang, Wen
 and
Hulusic, Vedad
}, year = {
2023},
publisher = {
The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-217-2},
DOI = {
10.2312/gch.20231184}
}

Browse

Recent Submissions

Now showing 1 - 35 of 35
  • Item
    GCH 2023: Frontmatter
    (The Eurographics Association, 2023) Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
  • Item
    HerMeS - HERitage sMart social mEdia aSsistant: from Requirement Elicitation to Data Modelling for Feeding Artificial Intelligence Recommendation System
    (The Eurographics Association, 2023) Bucciero, Alberto; Chirivì, Alessandra; Jaziri, Mohamed Ali; Muci, Irene; Orlandini, Andrea; Umbrico, Alessandro; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    In the last years, several mobile APPs have been developed within the cultural tourism domain to give new impetus to this sector which is booming both in Italy and worldwide. In the wake of the increasing importance of technologies based on artificial intelligence, even mobile applications for the use of cultural tourism heritage are increasingly taking advantage of these techniques. Machine learning strategies are increasingly used to recommend points of interest and itineraries that are compatible with the user's preferences, requirements and constraints. The quality and integrity of the data acquired become the starting point for training and implementing AI models. By levering well-structured data, these algorithms can offer valuable insights, personalised recommendations, and enhanced user interaction in the cultural tourism domain. The HerMeS APP that we present in this paper was designed starting from these premises. The application aims to provide a wide range of artificial intelligence-based features to enhance the enjoyment and exploration of cultural heritage, both tangible and intangible.
  • Item
    High Resolution 2D-/3D-Scanning and Deep Learning Segmentation for Digitization of Fragmented Wall Paintings
    (The Eurographics Association, 2023) Kroeger, Ole; Krumpek, Oliver; Koch, Paul; Pape, Martin; Schneider, Jan; Krüger, Jörg; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    The preservation and study of mural wall paintings often involve the collection of numerous fragments with unknown context. In this paper the authors present a case study involving a Roman wall painting discovered in 2013 at the European Cultural Park Bliesbruck-Reinheim. The objective of this work was to develop a semi-automated assistance system for the digitization, visualization, and digital repositioning of the Roman wall painting fragments. Therefore an easy-to-use scanner system was developed, that captures high-resolution 2D images of the front and back surfaces of the fragments, along with a height map of the backside. The contributing partners also developed a control and operating software for the scanner, as well as an automated software platform for visualization and repositioning of the digital fragments. The contributions of this paper include the introduction of a ML-based algorithm for background subtraction and segmentation of the front surface of the fragments. The technical realisation for fast and accurate image acquisition of the fragments, including sensor registration and highresolution capture, has been worked out. The system calibration process, hardware setup and data correction techniques are described in detail. Additionally, the challenges of pixel-wise image segmentation for distinguishing between background, inner contour (wall painting), and outer contour (fragment surface without painting) are discussed. Our proposed approach overcomes the limitations of training ML algorithms on high-resolution images by employing patch-wise training and leveraging small features instead of large-scale features. The digitization and segmentation process demonstrated promising results in preserving and reconstructing the roman wall painting fragments. The findings of this study contribute to the field of cultural heritage preservation and provide valuable insights as the developed equipment and methods are highly transferable to future digitization projects.
  • Item
    Interaction Design as Catalyzer of Creative and Interpretative Praxes in Museum Context
    (The Eurographics Association, 2023) Veggi, Manuele; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    This paper argues that interaction design (IxD) can suggest valid solutions in rethinking museum mediation, focusing on conservation data as reference case study. Eliciting interest, it is possible to conceive meaningful and authentic experiences, aimed at activating a transformative dialogue with the visitors: with this approach, audiences are creatively engaged to reconsider their own expectations, behaviours and beliefs. To support this hypothesis, major attention will be paid to describe the set up and the results of a first proof of concept, conceived in the framework of the PERCEIVE Project and based on Les demoiselles à la rivière by Matisse, now exhibited at the Art Institute of Chicago.
  • Item
    Interactive Digital Narrative Authoring Tools and Hybrid Experiences in Cultural Heritage: An Integrated Review
    (The Eurographics Association, 2023) Massidda, Marcello; Travaglini, Laura; Pescarin, Sofia; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Interactive Digital Narrative Authoring Tools (IDN-AT) are software applications that allow users, without the need for programming skills, to create, design, and publish interactive digital narrative applications. In the field of Digital Heritage and specifically in that of Virtual Museums there is an increasing need of such tools, to enable non programmers (designers, creatives and curators) to design and develop hybrid experiences in cultural contexts. This paper aims at reviewing available solutions, defining the gaps and still missing features, tools or services, with the goal of paving the way for a webXR integrated solution.
  • Item
    Authenticity in VR and XR Experiences: a Conceptual Framework for Digital Heritage
    (The Eurographics Association, 2023) Pescarin, Sofia; Città, Giuseppe; Gentile, Manuel; Spotti, Samuele; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Although people search for authentic, memorable and meaningful experiences in cultural tourism, these requirements are not considered as part of a virtual or hybrid experience and therefore are not considered keys in their design. This paper presents an analysis of the concept of authenticity, extending its meaning well beyond the traditional interpretation in ICT. Through the study of how this concept has been developed and used in different domains and through an exploration in the wild, adopting a Cultural Probe Kit approach, it has been possible to identify the three interconnected dimensions of authenticity, their characteristics and design strategies that should be adopted to strengthen the perception of authenticity in the users of Virtual and Hybrid experiences.
  • Item
    R-CNN based PolygonalWedge Detection Learned from Annotated 3D Renderings and Mapped Photographs of Open Data Cuneiform Tablets
    (The Eurographics Association, 2023) Stötzner, Ernst; Homburg, Timo; Bullenkamp, Jan Philipp; Mara, Hubert; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Motivated by the demands of Digital Assyriology and the challenges of detecting cuneiform signs, we propose a new approach using R-CNN architecture to classify and localize wedges. We utilize the 3D models of 1977 cuneiform tablets from the Frau Professor Hilprecht Collection available as pen data. About 500 of these tablets have a transcription available in the Cuneiform Digital Library Initiative (CDLI) database. We annotated 21.000 cuneiform signs as well as 4.700 wedges resulting in the new open data Mainz Cuneiform Benchmark Dataset (MaiCuBeDa), including metadata, cropped signs, and partially wedges. The latter is also a good basis for manual paleography. Our inputs are MSII renderings computed using the GigaMesh Software Framework and photographs having the annotations automatically transferred from the renderings. Our approach consists of a pipeline with two components: a sign detector and a wedge detector. The sign detector uses a RepPoints model with a ResNet18 backbone to locate individual cuneiform characters in the tablet segment image. The signs are then cropped based on the sign locations and fed into the wedge detector. The wedge detector is based on the idea of Point RCNN approach. It uses a Feature Pyramid Network (FPN) and RoI Align to predict the positions and classes of the wedges. The method is evaluated using different hyperparameters, and post-processing techniques such as Non-Maximum Suppression (NMS) are applied for refinement. The proposed method shows promising results in cuneiform wedge detection. Our detector was evaluated using the Gottstein system and with the PaleoCodage encoding. Our results show that the sign detector performs better when trained on 3D renderings than photographs. We showed that detectors trained on photographs are usually less accurate. The accuracy on photographs improves when trained, including 3D renderings. Overall, our pipeline achieves decent results, with some limitations due to the relatively small amount of data. However, even small amounts of high-quality renderings of 3D datasets with expert annotations dramatically improved sign detection.
  • Item
    Estimating the Number of Chases used for Printing Books with Movable Metal Types
    (The Eurographics Association, 2023) Kim, Dongkeun; Ahmed, Maaz; Choi, Kang-Sun; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Many books were printed with movable metal types during the Joseon Dynasty (A.D. 1392-1897), and even early books are older than the Gutenberg Bible which was the earliest book printed using movable metal type in Europe (A.D. 1455). However, there is little information about the printing technology, such as the scale of metal type at that time and the management system. In this paper, we propose an algorithm to estimate the number of chases simultaneously used to print a book with movable metal types, which can provide not only insights into the level of printing technology at that time but also important clues for estimating the number of movable metal types. In contrast to previous studies of chase count estimation based on the subjective comparison, we propose an algorithm to estimate the number of chases using the similarity of character spacing distribution in the central part of the printed sheets, assuming that the metal types for the central part were set once and reused without replacement during the production of the book. The central part of each sheet in one book is cropped. After rotational deviations of all the central part images are removed using the principal component analysis, the images are binarized. Morphological operations are performed to remove noise and facilitate character analysis. The profile histogram of the binarized image is used as a probability distribution for character spacing, and the Wasserstein distances among the profile histograms of all the central part images in the book are calculated to obtain a similarity matrix of the central part images. By performing an eigenvalue analysis using spectral clustering with the similarity matrix, we determine the number of clusters of the central part images, which indicates the number of chases simultaneously used in printing the book. When applying the proposed algorithm to the images of "Neungumgyeoung" Volume 4 (A.D. 1462), "Seokbosangjeol" Volume 6 (A.D. 1446), and "Worin cheongangjigok" Volume 1 (A.D. 1447), it was estimated that 3, 6, and 4 chases were used, respectively. To verify the reliability of the results, subjective classification of the core part based on the size or style of the characters was performed for "Neungumgyeoung" Volume 4, and it was classified into 3 groups, consistent with the results of the proposed algorithm. This proposed method can be utilized for the analysis of various metal movable chases.
  • Item
    Effective Interactive Visualization of Neural Relightable Images in a Web-based Multi-layered Framework
    (The Eurographics Association, 2023) Righetto, Leonardo; Bettio, Fabio; Ponchio, Federico; Giachetti, Andrea; Gobbetti, Enrico; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Relightable images created from Multi-Light Image Collections (MLICs) are one of the most commonly employed models for interactive object exploration in cultural heritage. In recent years, neural representations have been shown to produce higherquality images, at similar storage costs, with respect to the more classic analytical models such as Polynomial Texture Maps (PTM) or Hemispherical Harmonics (HSH). However, their integration in practical interactive tools has so far been limited due to the higher evaluation cost, making it difficult to employ them for interactive inspection of large images, and to the difficulty in integration cost, due to the need to incorporate deep-learning libraries in relightable renderers. In this paper, we illustrate how a state-of-the-art neural reflectance model can be directly evaluated, using common WebGL shader features, inside a multiplatform renderer. We then show how this solution can be embedded in a scalable framework capable to handle multi-layered relightable models in web settings. We finally show the performance and capabilities of the method on cultural heritage objects.
  • Item
    Portrait2Bust: DualStyleGAN-based Portrait Image Stylization Based on Bust Sculpture Images
    (The Eurographics Association, 2023) Sinha, Saptarshi Neil; Weinmann, Michael; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    In cultural heritage, portrait paintings and busts are special genres of artworks which are used to show the appearance and expression of a human subject. The purpose of such artwork is to serve as remembrance of the person who is depicted in that portrait or bust. The bust can moreover serve as a 3D representation of a portrait painting. Therefore, it would be interesting to stylize a portrait painting based on a specific bust, i.e. the generation of a 2D image of a bust corresponding to the person depicted in the portrait image. In this paper, we analyze and discuss the stylization of portrait paintings and photographs of human faces with busts using a deep learning based style transfer approach. To capture the characteristics in the appearance of busts, we created a novel dataset of busts and used DualStyleGAN for the use cases of stylizing portrait paintings and stylizing human faces based on our novel bust style. Our experiments show the potential of this approach. Stylizing human faces as busts might not only be appealing to experts that might save time and effort for generating an initial stylization to refine later on, but also increase the engagement of novice users and exhibition visitors with cultural heritage.
  • Item
    AI Based Image Segmentation of Cultural Heritage Objects used for Multi-View Stereo 3D Reconstructions
    (The Eurographics Association, 2023) Kutlu, Hasan; Brucker, Felix; Kallendrusch, Ben; Santos, Pedro; Fellner, Dieter W.; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Image segmentation (or masking) finds a very useful use case within 3D reconstruction of cultural heritage objects. The 3D reconstructions can be accelerated, reconstructing the object without any background noise. Conventional segmentation methods can calculate erroneous masks for certain objects and environments, which can lead to errors within the reconstruction: Parts of the 3D reconstruction may be missing or are incorrectly reconstructed, which contradicts adequate archiving. The automated iterative Multi-View Stereo (MVS) scanning process makes it necessary to obtain masks that reconstruct the object in the best possible way, regardless of the environment, the stabilizing mount, the color of the background and the object. In addition, it should not be necessary to tweak the best possible parameters for conventional masking procedures and to create masks manually. State-of-the-art artificial intelligence (AI) segmentation networks will be trained and applied to the MVS scans to verify the behavior of the associated 3D reconstructions and the automated iterative scanning process. In addition, a comparison between different AI segmentation networks and a comparison between conventional masking methods and AI segmentation networks is performed.
  • Item
    One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
    (The Eurographics Association, 2023) Pöllabauer, Thomas; Kühn, Julius; Li, Jiayi; Kuijper, Arjan; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Estimating the 3D shape of an object using a single image is a difficult problem. Modern approaches achieve good results for general objects, based on real photographs, but worse results on less expressive representations such as historic sketches. Our automated approach generates a variety of detailed 3D representation from a single sketch, depicting a medieval statue, and can be guided by multi-modal inputs, such as text prompts. It relies solely on synthetic data for training, making it adoptable even in cases of only small numbers of training examples. Our solution allows domain experts such as a curators to interactively reconstruct potential appearances of lost artifacts.
  • Item
    Automatic Detection of Windows Reflection or Transparency Pollution in TLS Acquisitions
    (The Eurographics Association, 2023) Badalyan, Edgar; Schenkel, Arnaud; Debeir, Olivier; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Three-dimensional acquisitions have been more and more used in recent years, for multiple applications, such as cultural heritage preservation. When these point clouds are generated through laser scanning, transparent and/or reflective objects such as windows can generate inexact or undesirable data. These must be cleaned up by a human, which is often time-consuming and requires experience. This work provides an insight on some methods that can be used to automate this task. It investigates the usage of Mask R-CNN with intensity images in equirectangular projections. The huge images are tiled into squares of 2048x2048 pixels for both training and prediction. The model has good performances on the test and validation sets to handle both types of problems; but also to manage the presence of a mirror in a scene.
  • Item
    Using Spatial Augmented Reality to Increase Perceived Translucency of Real 3D Objects
    (The Eurographics Association, 2023) Trumpy, Giorgio; Gigilashvili, Davit; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Translucency is an important optical and perceptual attribute that has a significant impact on the appearance of objects and materials. Expensive and time-consuming manufacturing process is required to produce a translucent replica of an opaque real object. The human visual system has a poor ability to understand optics, and it relies on intensity distribution in the image to distinguish translucent and opaque materials. In this work we demonstrate a novel method of using spatial augmented reality to increase perceived translucency of more optically opaque real 3D objects by projecting energy patterns onto them that mimic the energy distribution of optically translucent materials. We conducted a user study to verify that the result looks convincing, and it is impossible to tell the transmitted and projected light apart. This opens promising directions for effective alteration of material appearance using projection systems, which can be used to enhance understanding and appreciation of historical artifacts.
  • Item
    Exploring Expert and Non-Expert Perception of 3D Digital Models of Museum Objects
    (The Eurographics Association, 2023) Zumkley, Kira; Echavarria, Karina Rodriguez; Weyrich, Tim; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Increasingly, museum objects are documented as 3D digital models (3dDM) for scientific study, online exhibition, or personal enjoyment; however, 3dDMs invariably exhibit imperfections due to technological limitations and/or the lack of standardisation in museum object digitisation. Little is known how such inaccuracies are perceived and interpreted by users. Through qualitative interviews and deductive thematic analysis this user study first investigates which inaccuracies in 3dDMs lead to misinterpretations by users and then considers six factors based on the concept of Epistemic Vigilance (EV) and to what extend these factors play a role in the users' ability to correctly understand the information presented within 3dDMs. Only one of eight explored inaccuracies was correctly identified by all participants and background knowledge of the museum object and 3D imaging technology (3DIT) had the most influence on correct interpretation of inaccuracies. Furthermore, trust in the museum publishing the 3dDM and in 3DIT also played a role in how the inaccuracies were perceived. Publishing data about the issues present alongside the 3dDM will increase transparency and further work should therefore concentrate on mechanisms that promote correct interpretation of 3dDMs' limitations to enable museum practitioners to make the most of their digitisation efforts.
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    Inferring the Routes of Prehistoric Humans
    (The Eurographics Association, 2023) Rahary, Adrien Ramanana; Lorre-Guidt, Mylène; Grégoire, Sophie; Cani, Marie-Paule; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Prehistoric research is in high demand for 3D simulation to help validate hypotheses and enrich knowledge. While previous multidisciplinary studies focused on the reconstruction of ecosystems around excavation sites, this work takes up a new issue: deducing and visualizing the routes and the time taken by the hominids to reach the places where they harvested their resources, based on field data about raw material sources, the paleoclimate, and the surrounding ecosystem. We rely on the energy consumption of a simplified version of a walking character to compute the most likely locomotion speed and the best routes between input sites of interest, while taking into account local slopes, ground types and the presence of vegetation along the way. We show that this approach allows to evaluate the duration of the typical journeys of Homo heidelbergensis staying at the Caune de l'Arago (France) to collect lithic raw materials and to hunt - allowing archaeologists to deepen their knowledge of economic and territorial practices to the Lower Paleolithic and the Acheulean culture, 500,000 years ago.
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    DataSpace-ISPC: a Semantic Platform for Heritage Science
    (The Eurographics Association, 2023) Bucciero, Alberto; Chirivì, Alessandra; Anglada, Gerardo; Demetrescu, Emanuel; Fanini, Bruno; Paraciani, Nicolò; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    The contribution presents the DataSpace of the Institute of Heritage Science (ISPC) of the Italian National Council for Research. Cultural Heritage is well known to be a multidisciplinary domain where heterogeneous data, methods and techniques overlap, co-exist and collaborate to create evidence-based wisdom represented with local and (rarely) inter-operable standards. DataSpace aims to overcome the need to harmonise converging research perspectives, allow collaborative research, and debabelize the presentation of data. This horizontal perspective is based on a graph of knowledge, ruled by a semantic reference model, and acts as a glue to connect different digital resources created with different perspectives. The DataSpace, which is built on top of the Arches platform integrated and customised with original tools, has been validated with positive results against two case studies to cover the wider domain of Heritage Science. The contribution explains the activities and technological solutions adopted and goes into detail about the problems and limitations that arose with the implementation of the DataSpace offering a critical yet positive perspective on the use of the DataSpace-ISPC in production scenarios.
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    The Role of Project MA.G.I.C. in the Context of the European Strategies for the Digitization of the Library and Archival Heritage
    (The Eurographics Association, 2023) Conte, Stefania; Maddalena, Pasqualino Maria; Mazzucchi, Andrea; Merola, Leonardo; Russo, Guido; Trombetti, Guido; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Considering the allocation of Next Generation Eu funds, part of which is intended for the digital transition through the national plans of the Member States of the European Union, this contribution focuses attention on the policies adopted by them on the digital transformation of heritage library and archive. A European overview exposes the digitization initiatives, as well as the standards adopted, which lead to the creation of multiple and diversified digital platforms that display the results; the same ones that implement Europeana, the platform for European digitization projects. A considerable part of the contribution hinges on IT projects affecting Italy, of which particular regard has the digitization activity, carried out by the Vatican Apostolic Library and the Federico II University of Naples: united by the choice of digital format, the F.I.T.S. format, they intended to use it, because it is suitable for the long-term conservation of files and, therefore, functional for the custody, enhancement and use of documentary complexes and bibliographic collections.
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    A Digital Data Curation-Based Photogrammetric Acquisition Methodology for Cultural Heritage, expanded with CIDOC CRM Compatibility: protocol BeA-PG
    (The Eurographics Association, 2023) Lauro, Vittorio; Lombardo, Vincenzo; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    The increasing digitalization of cultural heritage assets and the exponential expansion of digital repositories have created new opportunities for archaeological documenting, preservation, and dissemination. Photogrammetry, a survey approach that uses photographic acquisitions to construct highly detailed 3D models of objects, buildings, and landscapes, is one of the most promising techniques in this field. The effectiveness of the photogrammetric process, however, has still limitations due to a lack of experience sharing and data interoperability, which have resulted from the singularities of the techniques in both process and data format. To address this issue, this paper proposes a novel workflow for the photogrammetric process, called BeA-PG, developed for the BeArchaeo archaeological project. BeA-PG implements two relevant features for improving the effectiveness: on the one hand, sharing is improved by widening the scope of the process representation from the specific archaeological context to the broader cultural heritage context, by adopting the Digital Data Curation process abstraction; on the other, it improves the interoperability by describing the process with a shared ontological vocabulary, namely the CIDOC-CRM model. The paper introduces the major features of the photogrammetric process, its description through the abstract flow of the Digital Data Curation process, and its encoding through the CIDOC-CRM vocabulary. We illustrate the BeA-PG workflow and its experimental application in the practical setting of the BeArchaeo project.
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    4D Thermo-reflectography of Cultural Heritage
    (The Eurographics Association, 2023) Mercuri, Fulvio; Pietroni, Eva; D'Annibale, Enzo; Paoloni, Stefano; Orazi, Noemi; Ferdani, Daniele; Zammit, Ugo; Ronchi, Diego; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    This paper proposes a new method for the study of cultural heritage. A 3Dmodel in the mid-wavelength spectral range of infrared radiation is realized for the depth-resolved study of artworks. In particular, pulsed thermography is used to obtain a virtual 4D representation of some artifacts. The goal is to facilitate the end-user experience making it possible to explore subsurface elements in a digital 3D model. In the proposed approach, the three-dimensional geometry of the artifact is reconstructed by directly processing the infrared images using Structure from Motion techniques. Finally, the results of the humanities and natural sciences studies are mapped onto the 4D model in the form of interactive semantic annotations and visualized in a 3D web platform
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    Augmenting Local and Remote Cultural Visits with Mixed Reality
    (The Eurographics Association, 2023) Lourenço, Pedro; Correia, Nuno; Rodrigues, Armanda; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    With the rapid evolution of technology in the last decades came the possibility of executing certain activities remotely. Museum and gallery visits can greatly benefit from remote interaction and can be enhanced by visitor participation and collaboration. The pandemic setting contributed to the active search for its implementation in several areas of society. The framework presented in this paper aims to tackle both of the aforementioned opportunities instantiated by companion and collaborative virtual and augmented reality applications. The first application was built for Oculus Quest devices and serves as a means to immerse the user and provide a sense of presence in remote visits. The second is a smartphone application meant to augment the onsite visitor experience with digital information and the possibility for commenting and annotating the visit. The latter application can also stream a camera perspective to the virtual environment accessible in the first application, enabling a sense of participation and presence in the physical exhibit, to the to the virtual visitor . The system's usability and presence were evaluated in a series of questionnaires performed by a variety of participants.
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    Large Room Scale Augmented Reality in an Unaltered World Heritage Site
    (The Eurographics Association, 2023) Olbrich, Manuel; Zapf, Andreas; Stiegemann, Christoph; Pröbe, Annika; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Augmented Reality (AR) has found use in cultural heritage exhibitions in many forms during the last decade [BBG∗22], but usually by preparing the environment with markers or focusing on smaller exhibits like single statues [KKK∗14]. In this paper we present our approach to apply the technology to a larger unaltered environment. We show how we use Augmented Reality in this cultural heritage site to superimpose what was lost in time over what is preserved today, and virtually illustrate different aspects of the creation or reconstruction. Furthermore, we explain how the application, which is purely an extension of guided tours, is set up so that the guide can control the visitor's experience and steer them to the current point of interest. In this way, the visitor moving through the room is virtually shown the originally existing rich design of the cultural heritage site and is able to access it.
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    Hybrid XR Collaborative and Guided Experiences in Cultural Heritage: Brancacci POV Prototype
    (The Eurographics Association, 2023) Pescarin, Sofia; Cerato, Ivana; D'Annibale, Enzo; Fanini, Bruno; Ferdani, Daniele; Fà, Rachele Manganelli Del; Marasco, Alessandra; Massidda, Marcello; Palombini, Augusto; Ronchi, Diego; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    In this work, we present a research prototype of a hybrid XR experience for cultural tourism, accessible by any potential device, including immersive VR headsets. It has been designed to better answer visitors' expectations and to overcome the limitations offered by traditional Virtual Tours (VT). We present the conceptual model, prototype, applied case study and users survey. The overall result has shown how the development of a collaborative and guided experience, enhanced by the use of a gamified narrative, has produced an increased perception of authenticity of the VT.
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    Advanced Interactive Digital Storytelling in Virtual Reality presentation of Austrian-Hungarian fortresses around Trebinje
    (The Eurographics Association, 2023) Rizvic, Selma; Boskovic, Dusanka; Mijatovic, Bojan; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Interactive Digital Storytelling (IDS) is a way of communicating information in the metaverse [BH22]. Gameplay elements added to these applications turn them into serious games that can offer unique immersive experiences of historical objects and events to museum visitors and online. In this paper, we describe this "Advanced IDS" methodology on a use case of the Trebinje Fortresses VR project. Austrian Hungarian Fortresses around Trebinje, Bosnia, and Herzegovina, are in decay, hardly accessible, and completely neglected. They can be explored in Virtual Reality through an application that combines Interactive Digital Storytelling narrated by officers who used to inhabit them with gameplays where the user becomes a carrier pigeon and carries the messages from one fortress to another while avoiding eagle attacks. After the first mission is successfully completed the user gets a task to accomplish in a fortress underground, and, if successful, gets the opportunity to explore digitized museum exhibits found in the fortress. The application is installed in the Trebinje Museum. The quality of user experience will be proven through an evaluation study.
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    Developing a VR Game Featuring Optical Illusion Challenges to Support Cultural Heritage - A Progress Report
    (The Eurographics Association, 2023) Nisiotis, Louis; Elia, Konstantinos; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    This paper presents the development state of a Virtual Reality game to support cultural heritage through puzzle-based optical illusion gaming challenges. It is an immersive escape room type of game focusing on the cultural heritage of Cyprus, where players must complete a series of optical illusion challenges to progress, while learning historical information about key landmarks, monuments and objects of significant heritage to the Cypriot community. The main project objective is to bring together various archaeological artefacts in a virtual space and providing an immersive gaming experience to its users/visitors. The paper highlights the need for investigating the topic of VR gaming to support cultural heritage. It presents the development progress to date, including information on the digitisation process, environment design, and the mechanics of the VR game. Some of the future directions of the project are also presented.
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    Interacting with Ancient Egypt Remains in High-Fidelity Virtual Reality Experiences
    (The Eurographics Association, 2023) Restivo, Simone; Cannavò, Alberto; Terzoli, Martina; Mezzino, Davide; Spallone, Roberta; Lamberti, Fabrizio; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    With the continuous advancement of Virtual Reality (VR) and related technologies, it is possible to envisage ever new ways to let users experience cultural heritage. Like in any application domain, however, one of the limitations to the effectiveness of VR is related to the level of immersion and presence that can be delivered. This paper presents the pipeline that has been developed to create narrative experiences in which users are immersed in a visually realistic virtual environment, where a curator of the Museo Egizio in Turin guides them in the interaction with some of the objects of the Museum's collection.
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    Artificial Intelligence Algorithms for the Analysis of User Experience in Palazzo Braschi Museum
    (The Eurographics Association, 2023) Ceccarelli, Sofia; Cesta, Amedeo; Cortellessa, Gabriella; Benedictis, Riccardo De; Fracasso, Francesca; Leopardi, Laura; Ligios, Luca; Lombardi, Ernesto; Malatesta, Saverio Giulio; Oddi, Angelo; Pagano, Alfonsina; Palombini, Augusto; Romagna, Gianmauro; Sanzari, Marta; Schaerf, Marco; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Analysing visitors' behaviour in museums and cultural sites is a key element to manage spaces and artworks arrangement. Museum stakeholders and curators may benefit from technology to improve the visit experience. This paper presents the preliminary results of the ARTEMISIA project, which aims to exploit Artificial Intelligence (AI) techniques to study, design and develop a methodology to interpret visitors' behaviour within a museum context. The Museum of Rome (Italy) Palazzo Braschi was selected for the project's first stage. The objective is to combine existing research with analytical techniques using data acquired from new generation stereo cameras (users' stand-still positions, viewpoint direction, movements) and other biases commonly used in the retail market (users' flow towards corridors, level of attention, etc). Mapping, and further predicting, users' patterns in regard to the museum arrangement may help to suggest changes in the space (new indications, updated storytelling or changes in thematic configuration). AI algorithms analyse data gathered from motion sensors in order to obtain a grid of references of all criteria related to users' experience (UX) and the effect of a museum visit on them, identifying new forms of visitors profiling and leading to the development of customised applications in public and private contexts.
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    Digitisation of Temporary Exhibitions: the Aldrovandi Case
    (The Eurographics Association, 2023) Barzaghi, Sebastian; Collina, Federica; Fabbri, Francesca; Giacomini, Federica; Bordignon, Alice; Balzani, Roberto; Bitelli, Gabriele; Bonifazi, Federica; Cipriani, Luca; Colitti, Simona; Daquino, Marilena; Fanini, Bruno; Fantini, Filippo; Ferdani, Daniele; Fiorini, Giulia; Formia, Elena; Forte, Anna; Girelli, Valentina Alena; Gualandi, Bianca; Heibi, Ivan; Iannucci, Alessandro; Fà, Rachele Manganelli del; Massari, Arcangelo; Moretti, Arianna; Peroni, Silvio; Pescarin, Sofia; Renda, Giulia; Ronchi, Diego; Sullini, Mattia; Tini, Maria Alessandra; Tomasi, Francesca; Travaglini, Laura; Vittuari, Luca; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Temporary exhibitions in the cultural heritage system have become diffused. They are tools to enhance cultural heritage and to gather, in the same context, cultural goods that otherwise would never be exposed together. Their temporal limitation gives them the uniqueness of an event that will not be repeated. The exhibition ''The Other Renaissance: Ulisse Aldrovandi and the Wonders of the World'' was created to offer visitors a tour of an exceptional legacy of objects, some of which have never been exhibited before, combined with objects, works of art from several Italian museums, and digital installations that together tell the story of how the first generation of naturalists took their first steps into science as we know it today. To store this exhibition a photogrammetric and structured light scanner survey campaign was launched to acquire 3D objects. By leveraging a combination of 3D, LOD, and Semantic Web technologies, we propose to create a digital twin (intended as an aggregation of different information about real-world heritage objects) of Aldrovandi exhibitions, to create a new digital tool differentiated from the physical exhibition, but that could store all the information and objects exposed together physically.
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    The NuragAI project: Artificial Intelligence-driven Image Analysis of Sardinia Landscape, Searching for Unknown Monuments
    (The Eurographics Association, 2023) Palombini, Augusto; Baiocchi, Edoardo; Lanzino, Romeo; Malatesta, Saverio Giulio; Marini, Marco Raoul; Rosati, Paolo; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    The NuragAI project aims at using an AI approach for image analysis of satellite imagery, in order to identify the nuraghi monuments (typical monuments of the Sardinia region, Italy, lasting from 1.8 to 0.7 ky BC), exploring the landscape and attempting a systematic survey of the Sardinia island. At the moment, a preliminary training has been performed, with an exceptionally positive result, and an earlier experiment of use. The satisfactory results are leading the authors towards a systematic analysis of the satellite imagery of the whole region, in order to check new monuments and open new perspectives for the use of AI in archaeological research.
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    Prototyping Care: Two Case Studies
    (The Eurographics Association, 2023) Clay, Arthur; Trumpy, Giorgio; Weinmann, Michael; Wetzel, Richard; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    To enable a richer presentation of cultural heritage and its needs, a shift in how artworks are exhibited is necessary. This paper explores two case studies that highlight the significant role of reproductions in showcasing restoration processes and associated technologies. This approach raises awareness about concepts of care and authenticity and their impact. It goes beyond merely displaying restored digital images that fail to capture the true state of the artworks or the artist's original intent. To achieve this, we propose employing glass layers or lenticular print technology, allowing a restored version of the artwork's original state while maintaining the ability to view the original artwork and restoration process separately.
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    Towards Crowd-Sourced Collaborative Fragment Matching
    (The Eurographics Association, 2023) Houska, Peter; Kloiber, Simon; Masur, Alessandra; Lengauer, Stefan; Karl, Stephan; Preiner, Reinhold; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Many artifacts of our archaeological heritage are preserved only in fragments. The reassembly of these parts to their original form is therefore an essential task for archaeologists. Our project aims at incorporating the intellect of many participants from the broad public in the solution of this complex task. To this end, we develop a web-based 3D environment, in which users can interactively and collaboratively reassemble virtual fragments of real-world artifacts, supported by computer-aided methods. Our primary research focus lies on identifying how to best design and setup such a system in order to maximize the collaboration efficiency. By participating in this open reassembly process, users can gain valuable insight into the archaeological task, thus raising awareness for our common cultural heritage in a multitude of people.
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    Project ''Wall facing Automatic Image Identification Laboratory'' - W.A.L.(L)
    (The Eurographics Association, 2023) Buscemi, Francesca; Gallo, Giovanni; Figuera, Marianna; Atani, Yaser Gholizade; Duca, Angelica Lo; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    The advantages of digitalization of cultural heritage artifacts go beyond the basic documentation of the archeological findings contexts and offer a tool to gain new scientific insights. W.A.L.(L) is an on-going project whose results show that the interdisciplinary collaboration between archeologists, data and computer scientists, carried on with rigorous methods of data collection, processing, organization and analysis may offer great opportunities for archeological data sharing and understanding.
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    The Scream (ca. 1910) through the Years: from Photographic Documentation to Spatio-Temporal Modelling
    (The Eurographics Association, 2023) Ciortan, Irina; Trumpy, Giorgio; Sandu, Irina; Bjørngård, Halvor; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    The Scream (ca. 1910) is one of Edvard Munch's representations of the well-known scene of a man awestruck by the beauty and colors of the sunset over the fjord, painted in oil and tempera on cardboard. Given the age of the artwork, it is expected that its appearance has significantly changed since its creation to the current state. Previous studies found that the yellow and dark red hues that depict the sky are especially sensitive to moisture and light exposure, respectively. In addition, several film photographs were taken of the painting between 1970 and 2003. In this work, we aim to use these photographs in an attempt to model the changes that the artwork withstood, and reconstruct its past appearance. We perform color correction of the photographs, by comparing the unfaded values in the films against reference values in the current version of the painting. To define the reference values, we use the existing knowledge on the highly sensitive areas and other damages that occured to the painting. Finally, we obtain a color transformation function that facilitates the digital rejuvenation of the painting appearance.
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    Interaction Styles in a Multi-Modal Virtual Museum
    (The Eurographics Association, 2023) Southall, Ethan; Hulusic, Vedad; Hargood, Charlie; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    Virtual Reality is used for creating immersive experiences with rich interactions in many application domains, from video games, simulations, and training, to cultural heritage and educational applications. Taking advantage of this technology, the experience in traditional museums can be enhanced with digital content, the museum or their collections can be replicated for remote visitors, or entirely new virtual museums can be created. In this paper, a demo of a multi-modal virtual museum is presented and interaction discussed from the point of view of a consumer and a virtual museum creator.
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    User eXperience in educational eXtended Reality applications in the Cultural Heritage domain
    (The Eurographics Association, 2023) Liu, Wenjun; Hargood, Charlie; Tang, Wen; Hulusic, Vedad; Bucciero, Alberto; Fanini, Bruno; Graf, Holger; Pescarin, Sofia; Rizvic, Selma
    With the increasing prevalence of educational eXtended Reality (XR) Cultural Heritage (CH) experiences, it becomes increasingly important to understand the user, and learner, experience of such installations and develop bespoke methodologies to capture and evaluate these experiences. Our work aims to expand the existing knowledge of User Experience (UX) in CH incorporating XR, especially for educational aspects inside, by displaying and analysing UX understanding and evaluation methods. Through investigation and research on UX work of applications described from various sources, this paper summarises the current trends, limitations, and challenges of UX evaluation in this field and represents the direction of future work.